This source-evidence page is currently authored and reviewed in English.

Les descriptions produit actualisées et les dossiers techniques sont maintenus en anglais.

Produit et investissement

TransformationOS

Connect transformation priorities to governed delivery missions.

Strategy, operating-model choices, approvals and delivery evidence are disconnected across teams.

Transformation sponsors and portfolio leaders

Explore the walkthrough Discuter de votre cas d’usage

Demonstration platform

A governed mission

Context: Fictional transformation scenario
Proposal: A bounded mission and its dependencies
Authority: Named approval with explicit limits
Handover: Evidence, refusals and unresolved decisions

Illustrative walkthrough · not a product screenshot or deployment

Explore the reasoning

Choose a fictional or authorised operating-model decision and its context.

The decision behind the system

How does a strategic choice become an accountable mission?

A demonstration platform for portfolio, operating-model and delivery decisions, with adaptive mission workflows and fictional company scenarios.

TransformationOS explores governed organisational missions. LaunchpadOS structures product judgement; E2A maintains consulting-engagement continuity.

Adaptive delivery

Method packs, deterministic context assessment and composition support the definition of governed missions.

Human approval

Bounded, expiring authority and read/draft/create/request tool surfaces keep approval decisions with people.

Evidence-aware missions

Import and refusal records connect evidence to portfolio, workflow and mission decisions.

Read the complete illustrative walkthrough

Assess
Choose a fictional or authorised operating-model decision and its context.
Compose
Inspect the proposed mission, relevant methods and dependencies.
Approve
Keep the proposal, human approval and expiring authority explicit before any tool action.
Follow
Track evidence, refusals and handover. Demonstration economics are not customer results.

One inspectable artefact

Four fictional demo-company datasets spanning automotive, finance, health, and industrial logistics.

A current boundary

Demo metrics, economics, scores, statuses and residual named-company fixtures are simulated and must not be read as customer evidence.

How to start

Use a fictional or authorised scenario to evaluate governance. Demo metrics are not customer outcomes; tenant configuration is not tenant isolation.

See all evidence and limits

These are source and research records. Illustrative examples do not establish deployment, integration, certification or customer outcomes.

Explorer le dossier technique et les preuves

Pont métier ↔ technologie · Organisational transformation demonstrator

Make organisational transformation decisions traceable to product and technical reality.

Connects portfolio intent, product operating models, Agile@Scale, delivery evidence, and governance decisions.

Il s'agit d'une interprétation du portefeuille et des sources, et non d'une affirmation de client, déploiement, certification ou résultat.

01
Pression métier
Make/Buy, commonalisation, portfolio, funding, delivery, and operating-model decisions live in separate functions and dashboards.
02
Décision produit
Represent decision rights, assumptions, approval states, evidence, cadence, and handover across the transformation portfolio.
03
Dossier technique
Tenant configuration, workflow modules, connector boundaries, retrieval, DORA and flow metrics, scenario records, proposal-first writes, approvals, and audit state.
04
Retour des preuves
Delivery friction, architecture duplication, supplier constraints, flow data, and field outcomes can return to investment, organisation, and portfolio choices.

Preuves issues du code source

Ce que le code source permet réellement d’établir

A transformation-governance demonstration with fictional company scenarios and Adaptive Delivery mission workflows. Method packs, context assessment, bounded authority and human approvals connect portfolio decisions to evidence and delivery work.

Le relevé technique détaillé est maintenu en anglais.

Maturité: Demonstration platform
Revue des preuves: 2026-10-26
État du code au: 2026-09-03

Décisions produit et architecture

Drive organisation, domain, KPI, connector, and theme variation through tenant configuration.
Gate write actions behind proposal, approval, execution, and audit states.
Route model requests by confidentiality while keeping connector and retrieval boundaries explicit.

Éléments vérifiables

Four fictional demo-company datasets spanning automotive, finance, health, and industrial logistics.
Digest-verified method packs, deterministic context assessment, governed missions and evidence import/refusal records.
Read/draft/create/request agent-tool boundaries, expiring authority and human-only approval paths alongside application verification records.

Limites des affirmations

Demo metrics, economics, scores, statuses and residual named-company fixtures are simulated and must not be read as customer evidence.
Connector names do not establish a live customer path. Tenant configuration controls presentation and defaults; it does not establish database, network or operational tenant isolation.
No transformation result, enterprise deployment, calibrated recommendation, security certification or model-residency outcome is asserted.

Les preuves du dépôt ne constituent pas des preuves client, de déploiement, de certification ou de résultats.

Architecture

One deployment configuration. Eleven inspectable demo modules.

Three represented layers: deployment configuration, transformation-governance workflows, and model-assisted decision support. They expose assumptions and approval paths; they do not prove an enterprise outcome.

Carte des sources uniquement : une couche peut représenter du code implémenté, une frontière d'adaptateur ou une conception documentée. Elle n'affirme pas l'existence d'un service de production configuré.

01
Layer 1 — Tenant Configuration
A tenant.json controls branding, theme, enabled modules, portfolio and geography fields for a configured demo. A real deployment still requires identity, data, connector, isolation, migration and security engineering.
02
Layer 2 — 11 Transformation Modules
Make/Buy, commonalisation, portfolio, vendor, simulation, scaled-delivery, FinOps, obsolescence, OKR, M&A and executive-review surfaces share one configured demonstration model.
03
Layer 3 — AI Decision Engine
Model-assisted analysis can use configured catalogue, vendor and decision records to draft comparisons. Retrieved text and generated reasoning remain evidence inputs for a named human decision owner.

11 transformation modules

From Make/Buy to M&A — one tenant, one decision plane

The demonstration connects eleven workflow modules through one configuration, vendor inventory, decision log and model-routing boundary. Below is the behaviour represented in source, not a claim of deployed enterprise integration.

Surface du dépôt uniquement : disponibilité, exhaustivité, performance et aptitude opérationnelle exigent une validation distincte.

MOD 1

Make/Buy Decision Intelligence

Structured decision support for build, buy or rent with scenario costs, vendor-fit fields and capability adjacency. The workflow records rationale and assumptions for later review.

MOD 2

Solution Commonalization

Represents cross-division duplicate-solution comparison and merge-versus-keep scenarios. Any ROI value is an assumption-based model output, not realised savings.

MOD 3

Portfolio Rationalization

Represents TIME-style application classification and strategic-fit fields with draft retire, replace, retain or rebuild recommendations. ServiceNow and Apptio are adapter boundaries, not verified live integrations.

MOD 4

Vendor Governance

Represents vendor inventory, assumed spend, service-level, risk and renewal fields, plus draft negotiation-brief workflows over fictional demo records.

MOD 5

Digital Twin Simulation

Compares declared process, organisation and platform scenarios before a governance decision. Outputs are modelled alternatives and narratives, not predictions of transformation impact.

MOD 6

Agile@Scale Coaching

Represents SAFe-, LeSS- and team-topology-related facilitation views with context and maturity fields. It does not certify framework adoption or determine which operating model is effective.

MOD 7

FinOps Dashboard

Represents cloud-cost attribution, anomaly and FinOps scorecard fields over demo inputs. Findings require connected billing sources and finance review before use.

MOD 8

IT Obsolescence Tracking

Represents end-of-life and support-date records for inventoried components, with adapter points for advisories and draft migration planning. Coverage depends on configured sources.

MOD 9

OKR Cascade

Drafts and compares strategic objectives, cascades and check-in signals. Alignment flags remain prompts for product and leadership review.

MOD 10

M&A Integration Playbooks

Represents sector-oriented integration checklists, milestone tracking, assumption-based synergy scenarios and governance-cadence templates.

MOD 11

Executive Dashboards

Role-oriented dashboards assemble module and demo data into review views. Their status is an input to leadership judgment, not an objective transformation verdict.

Tech Stack

Built With

Les technologies citées identifient des dépendances ou des adaptateurs du dépôt ; elles n'affirment ni intégration active ni déploiement.

Backend: Python 3.12, FastAPI, SQLAlchemy, SQLite (Postgres-ready), Redis, Celery, Pydantic v2
AI / LLM: Routing source for local, private and cloud model paths plus metadata-filtered retrieval; residency and fail-closed behaviour depend on explicit configuration and verification
Frontend: React 18, TypeScript, Vite, Tailwind CSS, Apple-minimal design system, Recharts, Framer Motion
Connectors: Jira, GitHub, Confluence and Azure DevOps adapter surfaces plus demo/mock connectors; write behaviour remains proposal-first and configuration-dependent
Infrastructure: Docker Compose, Caddy reverse proxy, OIDC/Azure AD auth, RBAC, approval workflows, SHA-256 audit trail
Testing: Pytest (backend), Vitest + React Testing Library (frontend), demo scripts for each capability module

Technical documents & controlled source access

Source Code

Explore the Code

Repository access, evaluation scope and any reuse terms are agreed explicitly; this public page does not promise source access or a licence.

NDA Required

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